Main
Alexandre Henrique S. Dias
I’m a Data Scientist and a graduate student at the Electrical and Computer Engineering Master’s program at UFRN. My research is focused on social network analysis and graph theory. Additionally, I enjoy my free time writing posts on Medium about Machine Learning. I am skilled in Python, Machine Learning (Scikit-Learn, and TensorFlow), R, and SQL. I also have skills in MLOps using GKE, Kubeflow, Kubernetes, and Docker.
Industry Experience
Data Scientist
Americanas S.A.
São Paulo, SP
Present - 2021
- Responsible for building ML models using: Python, Scikit-Learn, and Tensorflow.
- Create ML pipelines using KubeFlow Pipelines from Google Cloud AI Platform, assist in the design of the CI/CD operations of the ML models.
Data Scientist
Looqbox
São Paulo, SP
2021 - 2019
- Development of BI reports and dashboards using R, Python, and SQL.
- Maintainer of the Looqbox R Package used to build R objects and data structures compatible with the Looqbox Application.
Education
M. Sc., Electrical and Computer Engineering
UFRN - Federal University of Rio Grande do Norte
Natal, RN
Present - 2021
- Research in complex network analysis, social networks, and graph theory.
- Tools: python, networkX, gephi, and more.
MITx Micromaster Program in Statistics and Data Science
MITx
EdX
Present - 2020
- The MITx MicroMaster in SDSS covers the fundamentals of data science, statistics, and machine learning.
B. Sc., Computer Engineering
UFRN - Federal University of Rio Grande do Norte
Natal, RN
2019 - 2018
- Member of the Modeling and Scientific Data Analysis team.
B. Sc., Sciences & Technology
UFRN - Federal University of Rio Grande do Norte
Natal, RN
2017 - 2015
- Linear Algebra and Analytical Geometry assistant teacher.
- Calculus II assistant teacher.
Research Experience
Undergraduate Researcher
Digital Metropolis Institute
UFRN
2019 - 2018
- Developed a traffic monitoring system using image recognition.
Undergraduate Researcher
Department of Informatics and Applied Mathematics
UFRN
2017 - 2016
- Developed an interactive theorem prover based on Linear Logical using the Maude programming language.
Academic Publications
Paper published in the 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT). Naples, Italy.
Performance Evaluation of an Edge OBD-II Device for Industry 4.0
Institute of Electrical and Electronics Engineers
IEEE
2019
- Performance evaluation of an Edge OBD-II device that collects data from vehicles in an autonomous way in order to provide customer feedback and tracking